Upcoming and Previous Speaking and Exhibitor Appearances
Come visit GridGain's booth #1141 at AWS re:Invent 2017. For more information visit: https://reinvent.awsevents.com/
In this 1-hour webinar, GridGain Systems Chief Product Officer Dmitriy Setrakyan will present how distributed memory-centric architectures can be applied to various financial systems.
In this webinar, Denis Magda, GridGain Director of Product Management and Apache Ignite PMC Chairman, will introduce the fundamental capabilities and components of a distributed, in-memory computing platform. With increasingly advanced coding examples, you’ll learn about: Collocated processing Collocated processing for distributed computations Collocated processing for SQL (distributed joins and more) Distributed persistence usage This is Part 2 of a 2-part webinar series designed for software developers and architects.
In this webinar, Denis Magda, GridGain Director of Product Management and Apache Ignite PMC Chairman, will introduce the fundamental capabilities and components of an in-memory computing platform, and demonstrate how to apply the theory in practice. With increasingly advanced coding examples, you’ll learn about:
Join Denis Magda, product manager at GridGain Systems, for an intensive hands-on workshop of in-memory computing essentials for Java developers.
Rachel Pedreschi, GridGain's principal solutions architect, will be the featured speaker at the Bay Area In-Memory Computing Meetup on Nov. 14 in Mountain View, Calif. Her talk is titled: “Using GridGain’s Multi-Datacenter Replication to Build a Bulletproof Application” Summary: If you are trusting a single datacenter to support your newest mission critical or cutting edge in-memory computing application, you may want to reconsider your strategy.
Come visit GridGain's booth (#227) at Big Data London 2017. For more information visit: https://bigdataldn.com
The Bay Area Apache® Ignite™ Meetup is teaming up with Data Riders, a Big Data and Cloud Meetup, for an evening of Apache® Ignite™ tech talks. Join GridGain's lead architect Valentin (Val) Kulichenko, and GridGain product manager and Apache Ignite PMC Chair Denis Magda, for an evening of hands-on learning Oct. Nov. 2 from 6:30-9p.m. at the GE Digital offices at 2623 Camino Ramon, San Ramon, Calif.
Rachel Pedreschi, director of solutions architecture at GridGain Systems, will be speaking at the Sydney IBM Bluemix Meetup Group on Nov. 2. Her talk is titled "Fast Data meets Big Data in the IoT- Using Apache Ignite." Details from Rachel on her talk...
Join Denis Magda on his talk about "In-Memory Computing Essentials for Data Scientists". Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost high-loaded applications, research projects, risk analysis and fraud detections tasks by storing and processing massive amount of data in memory and on disk across a cluster of machines. These capabilities and benefits will be demonstrated with the usage of Apache Ignite which is the in-memory computing platform
The In-Memory Computing Summit North America, located in Silicon Valley, is the only industry-wide events which focuses on the full range of in-memory computing-related technologies and solutions. The conference is attended by technical decision makers, implementers and developers who make or influence purchasing decisions about in-memory computing, Big Data, Fast Data, IoT and HPC solutions. Hosted in South San Francisco, the event is a meeting place for in-memory computing experts from across North America and the Pacific Rim.
GridGain technical evangelist Akmal Chaudhri will be presenting at the Spark Summit Europe conference, Oct. 24-26 at the Convention Centre Dublin in Ireland. His session is titled: "How to Share State Across Multiple Spark Jobs using Apache® Ignite™."
GridGain technology evangelist Akmal Chaudhri will be speaking at the Eurostaff Big Data London Meetup on Oct. 19. He'll show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources.
Join Apache Ignite PMC Chair Denis Magda will introduce the many components of the open-source Apache Ignite. His talk, titled, “Catch an intro to Apache Ignite and skyrocket Java applications,” will teach attendees how to solve some of the most demanding scalability and performance challenges. He will also cover a few typical use cases and work through some code examples. This meetup will be at the Google campus in Mountain View, Calif.
During this 1-hour webinar, GridGain Product Manager and Apache® Ignite™ PMC Chair Denis Magda will discuss a Fast Data solution that can receive endless streams from the Interne
ODSC – The Open Data Science Conference – is essential for anyone who wants to connect to the data science community and contribute to the open source applications they use everyday. The goal is to bring together the global data science community to help foster the exchange of innovative ideas and encourage the growth of open source software. ODSC Europe is taking place in London Oct. 12-14.
GridGain Systems Technology Evangelist Akmal Chaudhri will be speaking at the Big Data Week conference Oct. 13 in London. His talk, titled "Powering up banks and financial institutions with distributed systems," will educate attendees about important Apache® Ignite™ features for financial applications -- such as ACID compliance, SQL compatibility, persistence, replication, security, fault tolerance and more.
Learn how to boost performance 1,000x and scale to over 1 billion transactions per second with in-memory storage of hundreds of TBs of data for your SQL-based applications. Apache Ignite is a unique data management platform that is built on top of a distributed key-value storage and provides full-fledged SQL support. Attendees will learn how Apache Ignite handles auto-loading of an SQL schema and data from a Relational DBMS, supports SQL indexes, supports compound indexes, and various forms of SQL queries including distributed SQL joins. Examples will show: